A5024137629- Smart Grid Energy Management
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Electric Power System Optimization
- Power Systems and Renewable Energy
- Hybrid Renewable Energy Systems
- Energy Load and Power Forecasting
- Smart Grid and Power Systems
- Solar Radiation and Photovoltaics
- Power System Reliability and Maintenance
- Power Systems and Technologies
- Solar Thermal and Photovoltaic Systems
- Power Systems Fault Detection
- Power Transformer Diagnostics and Insulation
- Power System Optimization and Stability
- Energy and Environment Impacts
- Energy, Environment, and Transportation Policies
- Islanding Detection in Power Systems
- High voltage insulation and dielectric phenomena
- Blockchain Technology Applications and Security
- Power Quality and Harmonics
- Electric Vehicles and Infrastructure
- Machine Fault Diagnosis Techniques
- Global Energy and Sustainability Research
Shandong University
2020-2025
Harvard University
2019-2024
Harvard University Press
2018-2020
Shanghai Jiao Tong University
2016-2019
Power systems based on centralized production are facing two limitations: the lack of fossil fuels and need to reduce pollution; Therefore, importance distributed generation resources (DGs) has increased by connecting renewable energy network. With increasing penetration energies in network, power quality challenges low voltage medium distribution have become one main fields studies. Since most connected network with help electronic converters devices purpose these is connect DGs compliance...
Abstract This paper considers options for a future Indian power economy in which renewables, wind and solar, could meet 80% of anticipated 2040 demand supplanting the country’s current reliance on coal. Using cost optimization model, here we show that renewables provide source cheaper or at least competitive with what be supplied using fossil-based alternatives. The ancillary advantage would significant reduction India’s sector related emissions CO 2 . model prices turbines solar PV systems...
A data-based Stackelberg market strategy for a distribution operator (DMO) is proposed to coordinate power dispatch among different virtual plants, i.e., demand response (DR) aggregators (DRAs). The has two-stage framework. In the first stage, data-driven method based on noisy inverse optimization estimates complicated price-response characteristics of customer loads. estimated load information DRAs delivered second where one-leader multiple-follower stochastic game formulated represent...
The increasing integration of distributed renewable energy resources highlights the need to design new control strategies for hybrid wind turbine-photovoltaic (WT-PV)-battery microgrid (MG) clusters. This paper proposes a two-level optimization model coordinated management between distribution systems and clustered WT-PV-battery MGs. upper level deals with operation network, while lower considers multiple An interactive game matrix (IGM) is applied coordinate power exchange among MGs,...
With the advent of Smart Grids and advanced communication technologies, self-healing scheme has become a desirable function operation planning electrical distribution systems (EDSs). In presence permanent fault, an optimized minimizes unsupplied demand while maintaining faulted section network isolated. The service restoration is combinatorial optimization problem whose computational complexity grows exponentially with number binary variables. To resolve this issue, distributed optimal...
With the increasing penetration of distributed generators (DGs) and growing demand for reliable power sources, it has become imperative to promptly identify anomalies in active distribution networks (ADNs). Additionally, anomaly identification is also crucial assisting targeting maintenance handle failures after action relay protections. This study presents a highly accurate rapidly responsive approach identifying ADNs. The proposed method uses three layers intricately interconnected...
With the development of deregulated retail power markets, it is possible for end users equipped with smart meters and controllers to optimize their consumption cost portfolios by choosing various pricing plans from different electricity companies. This article proposes a reinforcement learning-based decision system assisting selection plans, which can minimize payment dissatisfaction individual grid user. The problem modeled as transition probability-free Markov process (MDP) improved state...
The paper explores options for a 2050 carbon free energy future India. Onshore wind and solar sources are projected as the dominant primary contributions to this objective. analysis envisages an important role so-called green hydrogen produced by electrolysis fueled these sources. This source can be used accommodate intrinsic variability of complementing opportunities storage power batteries pumped hydro. also supplant current industrial uses gray in Indian context largely from natural gas...
This study presents a new technique for power quality (PQ) disturbance detection. The focuses on voltage sags and interruptions that are related to various faults, i.e. transmission line, feeder, transformer faults. A maximal overlap discrete wavelet transform‐based PQ detection algorithm is proposed provide accurate points of initiation recovery. robust even without threshold independent the sampling frequency recording. In consideration presence noise conditions, preprocessed waveforms...
A contactless method uses infrared image features and radial basis function neural network (RBFNN) to detect contamination levels for porcelain insulators is proposed in this paper. First, theory evidence detection by images inferred. Then, the denoising segmentation implemented suppress noise eliminate affection of background. Nine color moment related are extracted from insulator images. Finally, an RBFNN constructed identify levels. The ambient relative humidity taken as inputs RBFNN. For...
This paper considers the problem of distributed online economic dispatch (DOED) from sequential data using reinforcement learning. Learning operation behavior in high-dimension environments with constraints is a major challenge for DOED networked microgrids (MGs), where insufficient exploration disables agents to build complex policies. Therefore, this develops hierarchical learning (HRL) handle problem, radial basis function (RBF) approximation incorporated make policies continuous space....
Abstract With the increasing proportion of distributed energy resources, optimisation in active distribution network becomes highly complex and challenging. To protect user privacy perform efficient calculations, this paper proposes an online between operator. overcome constraint non‐linearity, a new linear power flow model is adopted, which can be updated online. In addition, to solve time‐coupled conundrum storage, Lyapunov drift plus penalty method employed transform long‐time scale...